Policy actors address complex environmental problems by engaging in multiple and often interdependent policy issues. Policy issue interdependencies imply that efforts by actors to address separate policy issues can either reinforce (‘win-win’) or counteract (‘trade-off’) each other. Thus, if interdependent issues are managed in isolation instead of being coordinated, the most effective and well-balanced solution to the underlying problem might never be realised. This study asks if reinforcing and counteracting interdependencies have different impacts on perception and collaboration. Our empirical study of collaborative water governance in the Norrström basin, Sweden, shows that policy actors often avoid collaborating when the policy issues exhibit reinforcing interdependencies. Our evidence indicates a perceived infeasibility of acting on reinforcing interdependencies. We also find that actors do not consider counteracting interdependencies (‘trade-offs’) at all when they engage in collaboration. Further, even though actors were aware of counteracting and reinforcing interdependencies, our analyses suggest they might be less aware of the former. These findings illustrate that actors either avoid each other due to policy issue interdependencies or, at best, ignore existing interdependencies when engaging in collaboration. Our study highlights the importance of problem perception in accomplishing integrated solutions to complex environmental problems, and of how understandings of different types of interdependencies shape collaboration in environmental governance.

This dataset consists of social network analysis data and policy issue network data. Network data consists of nodes (rows and columns) and links (matrix cells). In the social network data, rows and columns represent actors and matrix cells their collaboration. 1 indicates collaboration, 0 indicates no collaboration. In the policy issue network data, rows and columns represent policy issues, and matrix cells their reinforcing or counteracting interdependencies. Two different policy issue networks (one reinforcing and one counteracting) are represented. The actor-issue file reports the engagement of an actor in a given issue, i.e. that the actor works with that specific issue. The data also includes an actor attribute file, where each row represents the same actor as in the social network data and each column a specific attribute that might characterise the actor (1-yes,0-no). The data files are compatible with the free software MpNet (http://www.melnet.org.au/pnet), and for running Exponential Random Graph Models.

For more information see: Hedlund, J., Nohrstedt, D., Morrison, T. et al. Challenges for environmental governance: policy issue interdependencies might not lead to collaboration. Sustain Sci (2022). DOI: https://doi.org/10.1007/s11625-022-01145-8

This dataset is about books, has 1 rows. and is filtered where the book is Environmental governance of the great seas : law and effect. It features 7 columns including book, author, publication date, language, and book publisher. The preview is ordered by publication date (descending).

To strengthen the governance of and programmatic and administrative support for Multilateral Environmental Agreements (MEAs) by United Nations organizations by identifying measures to promote enhanced coordination, coherence and synergies between MEAs and the United Nations system, thus increasing United Nations system's contribution towards a more integrated approach to international environmental governance and management at national, regional and international levels.Available onlineCall Number: [EL]Physical Description: 49 p.

Explore Environmental governance for sustainable development : South Asian perspectives through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

Investigating the relationship between green finance (GF), government environmental governance (GEG), and green economic efficiency (GEE) is essential for developing sustainable development policies. This study uses panel data from 30 provincial administrative regions in China, covering the period from 2011 to 2021, to assess the effects of GF and GEG on GEE through the Spatial Durbin Model. The findings reveal several key points. First, most provinces are in low-low spatial clusters in terms of GEE, though there is a gradual improvement over time. Second, GF significantly enhances GEE, while GEG has a notable inhibitory effect. Third, GF exhibits a positive spatial spillover effect on the GEE of neighboring regions, whereas GEG shows a negative spatial spillover effect. Fourth, these spillover effects are mainly observed in the eastern regions, with little significance in the central and western areas. Moreover, one of the GEG indicators, environmental regulation, demonstrates a positive spatial spillover effect in the eastern region, contrary to the overall negative national trend. In general, this paper examines the interplay among the three variables within a unified analytical framework, filling the gaps in existing research. Furthermore, the paper delineates GEG into environmental regulation and environmental investment, which is a dimension frequently neglected in current research.

This dataset is about books. It has 2 rows and is filtered where the book is Decentralization in environmental governance : a post-contingency approach. It features 7 columns including author, publication date, language, and book publisher.

Authorities: 42 U.S.C. �4321 et seq.: National Environmental Policy Act of 1969; 40 CFR 1500: Regulations for Implementing the Procedural Provisions of the National Environmental Policy Act. Jurisdiction: Projects or programs requiring a federal agency action. Applicability: Federal agencies must evaluate the environmental effects and alternatives to the proposed action or program. Regulatory The National Environmental Policy Act (NEPA) established environmental protection as a national policy goal and directed all federal agencies to consider the environmental consequences of their projects and permitting actions. The NEPA review provides opportunities for integration of national environmental policy into project planning; public and agency review of potential environmental effects of federal actions (including issuance of federal permits) and programs; coordinated and inter-disciplinary program planning; and resolution of disputes among agencies. Most federal agencies have promulgated regulations governing the incorporation of NEPA's reviews into their programs. Review Process: NEPA set up a system for formal evaluation of environmental impacts of the actions of federal agencies, the centerpiece of which is the Environmental Impact Statement (EIS). This document includes an analysis of alternatives to the proposed action, a discussion of impacts from the proposed action, and disclosure of any irretrievable commitment of resources. Typically, a federal agency with an action on a project will prepare an Environmental Assessment (EA). Following publication in the Federal Register and a comment period, the agency will either issue a Finding of No Significant Impact (FONSI) or will decide to prepare an EIS to more fully examine alternatives, impacts, and mitigation. One federal agency is usually designated as the "lead" agency, and this agency will prepare the EIS. Other federal and state agencies may play an official role in preparation by becoming "cooperating" agencies with the lead agency. At the completion of the EIS process, the lead agency issues a Record of Decision making environmental findings. Forms: NEPA regulations at 40 CFR 1502.10: Recommended format, includes an outline for an EIS. Fees Project proponents are likely to be asked to contribute to the cost of preparation of the EIS. Website: www.whitehouse.gov/ceq/. Contact: The lead federal agency is the point of contact for a NEPA review process.

Supporting data for the research study “Will Confucian Culture Promote Corporate Environmental Governance.” The study uses A-share listed companies in Shanghai and Shenzhen from 2010 to 2019 and the density of Confucian temples and schools near sample company headquarters to estimate the impact of Confucian culture on corporate environmental governance.

The study uses A-share companies listed in Shanghai and Shenzhen Stock Exchanges in China from 2010 to 2019 as the research samples. The data on enterprise environmental protection expenditure, the Confucian temples, and Confucian schools are obtained from the CNRDS (Chinese Research Data Services Platform) database.

The Baltic Sea ecosystem is subject to a wide array of societal pressures and associated environmental risks (e.g. eutrophication, oil discharges, chemical pollution, overfishing and invasive alien species). Despite several years of substantial efforts by state and non-state actors, it is still highly unlikely that the regionally agreed environmental objectives of reaching “good environmental status” by 2021 in the HELCOM BSAP (Baltic Sea Action Plan) and by 2020 in the EU Marine Strategy Framework Directive (MSFD) will be met. This chapter identifies key research topics, as well as presents analytical perspectives for analysing the gap between knowledge and action in Baltic Sea environmental governance. It does so by outlining important trends and key challenges associated with Baltic Sea environmental governance, as well as by summarising the scope and results of individual chapters of this interdisciplinary volume. The analysis reveals the development of increasingly complex governance arrangements and the ongoing implementation of the holistic Ecosystem Approach to Management, as two general trends that together contribute to three key challenges associated with (1) regional and cross - sectoral coordination and collaboration, (2) coping with complexity and uncertainty in science-policy interactions and (3) developing communication and knowledge sharing among stakeholder groups. Furthermore, to facilitate analysis of environmental governance opportunities and obstacles both within and across specific environmental issues, this chapter reviews the scientific literature to pinpoint key research issues and questions linked to the identified governance challenges.

Many accounts of Arctic governance acknowledge that non-state actors have exercised important influence at critical junctures in regional politics. However, we know little about the role of science and business actors in contemporary Arctic governance. POLGOV seeked to address this gap with two main research tasks. First, how and why science and business actors' knowledge claims have gained purchase (or failed to do so) in two Arctic policy fields were assessed. Looking at policy developments in regional biodiversity politics and the development of oil spill prevention/response mechanisms, changes were traced in how the policy problems have been understood over time (process tracing) and seek to map and understand relationships between policy field ‘players’ (network analysis). These are the input data received for the AERI ranking of oil, gas and mining companies operating in the Arctic.

Based on the panel data of environmental Non-Governmental Organizations (ENGOs) and air pollution in OECD countries, this paper uses econometric model to investigate the governance effect of ENGOs on air pollution. The results show that: ENGOs have a positive impact on the improvement of environmental quality, and the results are still valid after a series of robustness tests; Further mechanism analysis found that the environmental improvement by ENGOs is mainly achieved by increasing investment in environmental protection. This study provides empirical evidence for the effect of ENGOs on air pollution, and further provides ideas for environmental governance.

Sustainable management of resources is crucial for balancing competing livelihood, economic, and environmental goals. Since forests and other systems do not exist in isolation, comprehensive jurisdictional approaches to forest, and land-use governance can help promote sustainability. The ability of jurisdictions to provide evidence of progress toward sustainability is essential for attracting public and private sector investments and maintaining local stakeholder involvement. The Sustainable Landscapes Rating Tool (SLRT) provides a way to assess enabling conditions for jurisdictional sustainability through an evidence-based rating system. We applied this rating tool in 19 states and provinces across six countries (Brazil, Ecuador, Indonesia, Cote d'Ivoire, Mexico, Peru) that are members of the Governors' Climate and Forests Task Force (GCF TF). Each SLRT assessment was completed using publicly available information, interviews with stakeholders in the jurisdiction, and a multi-stakeholder workshop to validate the indicator ratings. This paper explores the effects of stakeholder involvement in the validation process, along with stakeholder perceptions of the tool's usefulness. Our analysis shows that the validation workshops often led to modifications of the indicator ratings, even for indicators originally assessed using publicly available data, highlighting the gap between existence of a policy and its implementation. Also, a more diverse composition of stakeholders at the workshops led to more changes in indicator ratings, which indicates the importance of including different perspectives in compiling and validating the assessments. Overall, most participants agreed that the tool is useful for self-assessment of the jurisdiction and to address coordination gaps. Further, the validation workshops provided a space for discussions across government agencies, civil society organizations (CSOs), producer organizations, indigenous peoples and local community representatives, and researchers about improving policy and governance conditions. Our findings from the analysis of a participatory approach to collecting and validating data can be used to inform future research on environmental governance and sustainability.

The Australian Antarctic Data Centre's Larsemann Hills topographic GIS dataset was mapped from aerial photography. Refer to the metadata record 'Larsemann Hills - Mapping from aerial photography captured February 1998', Entry ID gis135. Since then GIS data with the locations and attributes of a range of features has been created from various sources, often for the purpose of environmental management. The features include station buildings, refuges, camp sites, management zones, helicopter landing areas, anchorages, beaches, a grave, monuments and Physics equipment. The data are included in the GIS data available for download from a Related URL below. The data conforms to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 6. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature, including the origin of the data.

The Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Site Polygon Data with CIESIN Modifications, Version 2 is a database providing georeferenced data for 1,572 National Priorities List (NPL) Superfund sites. These were selected from the larger set of the ATSDR Hazardous Waste Site Polygon Data, Version 2 data set with polygons from May 26, 2010. The modified data set contains only sites that have been proposed, currently on, or deleted from the final NPL as of October 25, 2013. Of the 2,080 ATSDR polygons from 2010, 1,575 were NPL sites but three sites were excluded - 2 in the Virgin Islands and 1 in Guam. This data set is modified by the Columbia University Center for International Earth Science Information Network (CIESIN). The modified polygon database includes all the attributes for these NPL sites provided in the ATSDR GRASP Hazardous Waste Site Polygon database and selected attributes from the EPA List 9 Active CERCLIS sites and SCAP 12 NPL sites databases. These polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund). The Geospatial Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) has created site boundary data using the best available information for those sites where health assessments or consultations have been requested.

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.
The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of global warming and socio-economic change. ISIMIP3b group I simulations are based on historical climate change as simulated in CMIP6 combined with observed historical socio-economic forcing. ISIMIP3b group II simulations are based on climate change according to the CMIP6 future projections combined with socio-economic forcings fixed at 2015 levels. ISIMIP3b group III simulations additionally account for future changes in socio-economic forcing.
In order to offer a consistent and common source of reservoirs and associated dams for climate impact modelers, we joined the Global Reservoir and Dam Database (GRanD) v1.3 (Lehner et al., 2011a, 2011b), product of the Global Water System Project, with a set of dams provided by Dr. Jida Wang, from the Kansas State University (KSU). In total, the database includes 7291 dams, constructed/under construction from 286 to 2020, and a total global cumulative storage capacity of approximately 6828 km³. The dams from KSU (11) were constructed or showing some impoundment in Google Earth/Landsat imagery from 2016 to 2020, adding thus some value on the future projections of ISIMIP.

United States Environmental Policy Stringency Index: Technology Support Policies data was reported at 2.000 NA in 2020. This stayed constant from the previous number of 2.000 NA for 2019. United States Environmental Policy Stringency Index: Technology Support Policies data is updated yearly, averaging 1.500 NA from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 3.000 NA in 2009 and a record low of 1.000 NA in 2005. United States Environmental Policy Stringency Index: Technology Support Policies data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ESG: Environmental: Environmental Policy Stringency Index: OECD Member: Annual.

These GIS point show Chapter 91 (The Massachusetts Public Waterfront Act) non-water dependent sites along the coast of Massachusetts. All sites have some form of public access. Data were collected from Massachusetts Department of Environmental Protection (DEP) Waterways Program (http://www.mass.gov/dep/water/resources/waterway.htm). In addition to the physical location, all sites also have hyperlinks to photos and Ch. 91 licenses, as well as a list of amenities. Through Chapter 91, the Commonwealth seeks to preserve and protect the rights of the public, and to guarantee that private uses of tidelands and waterways serve a proper public purpose. Examples the Chapter 91 licensing process include: strolling rights in intertidal areas, pedestrian and waterfront walkways, dinghy docks, public boat landings, public restrooms, public meeting rooms, transient dockage, public water transportation facilities and services, creation of parkland, boat ramps, piers and floats for public recreational boarding facilities, fishing piers, public sailing programs, interpretive display, and interior facilities of public accommodation in private buildings, such as restaurants, museums and retail stores.

In 2019, across companies with Environmental, Social and Governance (ESG) data available on Bloomberg Terminal, companies with various sustainability governance structure had higher environmental disclosure scores. With involvement of the directors or executives, sustainability goals of the companies are better.

This data set provides annual land transformation to be used as input data for ISIMIP3a (www.isimip.org). The data here originates from the historic LUH2 data set (Hurtt et al, 2020, see also https://luh.umd.edu), which in turn is based on HYDE 3.2 (Klein-Goldewijk, 2016). The data was interpolated to the ISIMIP 0.5° grid using first-order conservative remapping. The data set consists of 115 land transformation categories, one for each transition from one type of land use to another.